Jorge Castro

Adriano Rogério Bruno Tech

Tony Chuquizuta

Himer Avila-George

Neural Comput. Appl., 2024

2023

Parametric analysis of railway infrastructure for improved performance and lower life-cycle costs using machine learning techniques.

[BibT_eX]

[DOI]

Adv. Eng. Softw., 2023

2020

Natural Noise Management in Recommender Systems Using Fuzzy Tools.

[BibT_eX]

[DOI]

Raciel Yera

Luis Martínez

Proceedings of the Computational Intelligence for Semantic Knowledge Management, 2020

Novel Models in Recommender Systems and Group Recommender Systems for Improving Recommendations

[BibT_eX]

[DOI]

PhD thesis, 2020

Refining Indeterministic Choice: Imprecise Probabilities and Strategic Thinking.

[BibT_eX]

[DOI]

Vietnam. J. Comput. Sci., 2020

Deep Multiple Instance Learning Ensemble for the Acoustic Detection of Tropical Birds.

[BibT_eX]

[DOI]

Roberto Vargas-Masís

Danny Alfaro Rojas

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

A Hybrid Infrastructure of Enterprise Architecture and Business Intelligence & Analytics for Knowledge Management in Education.

[BibT_eX]

[DOI]

IEEE Access, 2019

A Big Data Semantic Driven Context Aware Recommendation Method for Question-Answer Items.

[BibT_eX]

[DOI]

IEEE Access, 2019

Refining the Imprecise Meaning of Non-determinism in the Web by Strategic Games.

[BibT_eX]

[DOI]

Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

Measuring Investment Opportunities Under Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019

2018

Opinion Dynamics-Based Group Recommender Systems.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2018

Group Recommendations Based on Hesitant Fuzzy Sets.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2018

A fuzzy approach for natural noise management in group recommender systems.

[BibT_eX]

[DOI]

Luis Martínez

Expert Syst. Appl., 2018

Parallelization of a Denoising Algorithm for Tonal Bioacoustic Signals Using OpenACC Directives.

[BibT_eX]

[DOI]

Esteban Meneses

Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2018

DNLM-MA-P: A Parallelization of the Deceived Non Local Means Filter with Moving Average and Symmetric Weighting.

[BibT_eX]

[DOI]

Saúl Calderón Ramírez

Manuel Zurnbado

Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2018

Web Apps and Imprecise Probabilitites.

[BibT_eX]

[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

2017

An empirical study of natural noise management in group recommendation systems.

[BibT_eX]

[DOI]

Luis Martínez-López

Decis. Support Syst., 2017

Dealing with diversity and novelty in group recommendations using Hesitant fuzzy sets.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016

A fuzzy model for managing natural noise in recommender systems.

[BibT_eX]

[DOI]

Luis Martínez-López

Appl. Soft Comput., 2016

Managing Natural Noise in Recommender Systems.

[BibT_eX]

[DOI]

Luis Martínez

Proceedings of the Theory and Practice of Natural Computing - 5th International Conference, 2016

2015

A Consensus-Driven Group Recommender System.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2015

The Robustness of Periodic Orchestrations in Uncertain Evolving Environments.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2014

Adaptively learning probabilistic deterministic automata from data streams.

[BibT_eX]

[DOI]

Mach. Learn., 2014

Weighting of Features in Content-Based Filtering with Entropy and Dependence Measures.

[BibT_eX]

[DOI]

Rosa M. Rodríguez

Manuel J. Barranco

Int. J. Comput. Intell. Syst., 2014

2013

Learning probabilistic automata: A study in state distinguishability.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2013

2012

Bootstrapping and Learning PDFA in Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Grammatical Inference, 2012

A Context-Aware Mobile Recommender System Based on Location and Trajectory.

[BibT_eX]

[DOI]

Proceedings of the Management Intelligent Systems - First International Symposium, 2012

2010

Learning PDFA with Asynchronous Transitions.

[BibT_eX]

[DOI]

Proceedings of the Grammatical Inference: Theoretical Results and Applications, 2010

A Lower Bound for Learning Distributions Generated by Probabilistic Automata.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010

2008

Towards Feasible PAC-Learning of Probabilistic Deterministic Finite Automata.

[BibT_eX]

[DOI]

Proceedings of the Grammatical Inference: Algorithms and Applications, 2008

2007

A general dimension for query learning.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 2007

2006

How Many Query Superpositions Are Needed to Learn?

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 17th International Conference, 2006

2005

On the Query Complexity of Quantum Learners

[BibT_eX]

[DOI]

Electron. Colloquium Comput. Complex., 2005

2002

The consistency dimension and distribution-dependent learning from queries.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2002

A New Abstract Combinatorial Dimension for Exact Learning via Queries.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 2002

2001

A General Dimension for Exact Learning.

[BibT_eX]

[DOI]

Proceedings of the Computational Learning Theory, 2001

2000

PACS, simple-PAC and query learning.

[BibT_eX]

[DOI]

Inf. Process. Lett., 2000

Abstract Combinatorial Characterizations of Exact Learning via Queries.

[BibT_eX]

Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000

1999

The Consistency Dimension and Distribution-Dependent Learning from Queries (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 10th International Conference, 1999

1998

Learning Nearly Monotone k-Term DNF.

[BibT_eX]

[DOI]

Víctor Lavín

Inf. Process. Lett., 1998

1996

Complexity Classes Between ThetaPk and DeltaPk .

[BibT_eX]

[DOI]

Carlos Seara

RAIRO Theor. Informatics Appl., 1996

1995

Simple PAC Learning of Simple Decision Lists.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 6th International Conference, 1995

1992

Characterizations of Some Complexity Classes Between Theta^p_2 and Delta^p_2.

[BibT_eX]

[DOI]

Carlos Seara

Proceedings of the STACS 92, 1992

1989

Nondeterministic Ω-Computations and the Analytical Hierarchy.

[BibT_eX]

[DOI]